Hi team,
I have created haar cascade xml file with some training images. But when I use that to detect the object in a video, it's identifying a black portion in the video as the object where as the object is located at some other place in the video frame.
Could you please help me resolve this issue.
Here is my program:
from __future__ import print_function
import cv2 as cv
import argparse
def detectAndDisplay(frame):
frame_gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
frame_gray = cv.equalizeHist(frame_gray)
#-- Detect faces
faces = face_cascade.detectMultiScale(frame_gray)
for (x,y,w,h) in faces:
print('car detected')
center = (x + w//2, y + h//2)
frame = cv.ellipse(frame, center, (w//2, h//2), 0, 0, 360, (255, 0, 255), 4)
faceROI = frame_gray[y:y+h,x:x+w]
cv.imshow('Capture - Face detection', frame)
parser = argparse.ArgumentParser(description='Code for Cascade Classifier tutorial.')
parser.add_argument('--face_cascade', help='Path to face cascade.', default='C:/AdrsTrain/dasar_haartrain/myhaar.xml')
parser.add_argument('--camera', help='Camera devide number.', type=int, default=0)
args = parser.parse_args()
face_cascade_name = args.face_cascade
face_cascade = cv.CascadeClassifier()
-- 1. Load the cascades
if not face_cascade.load('C:/AdrsTrain/dasar_haartrain/myhaar.xml'):
print('--(!)Error loading face cascade')
exit(0)
camera_device = args.camera
-- 2. Read the video stream
cap = cv.VideoCapture('C:/Accident-detection-Project--master/DemoRun/videos/Detectionbk3.mp4')
if not cap.isOpened:
print('--(!)Error opening video capture')
exit(0)
while True:
ret, frame = cap.read()
if frame is None:
print('--(!) No captured frame -- Break!')
break
detectAndDisplay(frame)
if cv.waitKey(50) == 27:
break
cap.release()
cv.destroyAllWindows()
